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Ökologischer Betrieb
Ökologischer Betrieb
Institute of

BW Farm Economics

Further Publications of Stefan Erasmi

  1. 0

    Schlund M, Erasmi S, Scipal K (2020) Comparison of aboveground biomass estimation from InSAR and LiDAR canopy height models in tropical forests. IEEE Geosci Remote Sens Lett 17(3):367-371, DOI:10.1109/LGRS.2019.2925901

  2. 1

    Schlund M, Magdon P, Eaton B, Aumann C, Erasmi S (2019) Canopy height estimation with TanDEM-X in temperate and boreal forests. Int J Appl Earth Observ Geoinf 82:101904, DOI:10.1016/j.jag.2019.101904

  3. 2

    Schlund M, Baron D, Magdon P, Erasmi S (2019) Canopy penetration depth estimation with TanDEM-X and its compensation in temperate forests. ISPRS J Photogramm Remote Sens 147: 232-241, DOI:10.1016/j.isprsjprs.2018.11.021

  4. 3

    Souza Mendes Fde, Baron D, Gerold G, Liesenberg V, Erasmi S (2019) Optical and SAR remote sensing synergism for mapping vegetation types in the endangered Cerrado/Amazon ecotone of nova Mutum-Mato Grosso. Remote Sensing 11(10):1161, DOI:10.3390/rs11101161

    https://literatur.thuenen.de/digbib_extern/dn061766.pdf

  5. 4

    Cunha J, Nobrega RLB, Rufino I, Erasmi S, Galvao C, Valente F (2019) Surface albedo as a proxy for land-cover clearing in seasonally dry forests: Evidence from the Brazilian Caatinga. Remote Sens Environ 238:111250, DOI:10.1016/j.rse.2019.111250

  6. 5

    Klinge M, Dulamsuren C, Erasmi S, Karger DN, Hauck M (2018) Climate effects on vegetation vitality at the treeline of boreal forests of Mongolia. Biogeosciences 15(5):1319-1333, DOI:10.5194/bg-15-1319-2018

    https://literatur.thuenen.de/digbib_extern/dn061767.pdf

  7. 6

    Baron D, Erasmi S (2017) High Resolution Forest Maps from Interferometric TanDEM-X and Multitemporal Sentinel-1 SAR Data. J Photogramm Remote Sensing Geoinf Sci 85(6):389-405, DOI:10.1007/s41064-017-0040-1

  8. 7

    Oertel C, Matschullat J, Zurba K, Zimmermann F, Erasmi S (2016) Greenhouse gas emissions from soils - a review. Chemie Erde 76:327-352

    https://literatur.thuenen.de/digbib_extern/dn059593.pdf

  9. 8

    Lausch A, Erasmi S, King DJ, Magdon P, Heurich M (2016) Understanding forest health with remote sensing-Part I - A review of spectral traits, processes and remote-sensing characteristics. Remote Sensing 8(12):1029, DOI:10.3390/rs8121029

    https://literatur.thuenen.de/digbib_extern/dn061769.pdf

  10. 9

    Perovic D, Gamez-Virues S, Börschig C, Klein A-M, Krauss J, Steckel J, Rothenwöhrer C, Erasmi S, Tscharntke T, Westphal C (2015) Configurational landscape heterogeneity shapes functional community composition of grassland butterflies. J Appl Ecol 52(2):505-513, DOI:10.1111/1365-2664.12394

  11. 10

    Klinge M, Böhner J, Erasmi S (2015) Modeling forest lines and forest distribution patterns with remote-sensing data in a mountainous region of semiarid central Asia. Biogeosciences 12(10):2893-2905, DOI:10.5194/bg-12-2893-2015

    https://literatur.thuenen.de/digbib_extern/dn061771.pdf

  12. 11

    Erasmi S, Rosenbauer R, Buchbach R, Busche T, Rutishauser S (2014) Evaluating the quality and accuracy of TanDEM-X digital elevation models at archaeological sites in the cilician plain, Turkey. Remote Sensing 6(10):9475-9493, DOI:10.3390/rs6109475

    https://literatur.thuenen.de/digbib_extern/dn061773.pdf

  13. 12

    Liu Y, Rothenwöhrer C, Scherber C, Batary P, Elek Z, Steckel J, Erasmi S, Tscharntke T, Westphal C (2014) Functional beetle diversity in managed grasslands: effects of region, landscape context and land use intensity. Landscape Ecol 29(3):529-540, DOI:10.1007/s10980-014-9987-0

  14. 13

    Steckel J, Westphal C, Peters MK, Bellach M, Rothenwöhrer C, Erasmi S, Scherber C, Tscharntke T, Steffan-Dewenter I (2014) Landscape composition and configuration differently affect trap-nesting bees, wasps and their antagonists. Biol Conserv 172:56-64, DOI:10.1016/j.biocon.2014.02.015

  15. 14

    Erasmi S, Schucknecht A, Barbosa MP, Matschullat J (2014) Vegetation greenness in northeastern Brazil and its relation to ENSO warm events. Remote Sensing 6(4):3041-3058, DOI:10.3390/rs6043041

    https://literatur.thuenen.de/digbib_extern/dn061774.pdf

  16. 15

    Schucknecht A, Erasmi S, Niemeyer I, Matschullat J (2013) Assessing vegetation variability and trends in north-eastern Brazil using AVHRR and MODIS NDVI time series. Eur J Remote Sens 46(1):40-59, DOI:10.5721/EuJRS20134603

    https://literatur.thuenen.de/digbib_extern/dn061779.pdf

  17. 16

    Fritz S, See L, van der Velde M, Nalepa RA, Perger C, Schill C, McCallum I, Schepaschenko D, Kraxner F, Cai X, Zhang X, Ortner S, Hazarika R, Cipriani A, Di Bella C, Rabia AH, Garcia A, Vakolyuk M, Kuleswar S, Erasmi S, et al (2013) Downgrading recent estimates of land available for biofuel production. Environ Sci Technol 47(3):1688-1694, DOI:10.1021/es303141h

  18. 17

    Erasmi S (2013) Habitat mapping from optical and SAR satellite data: Implications of synergy and uncertainty for landscape analysis. Photogrammetrie Fernerkund Geoinf(3):139-148, DOI:10.1127/1432-8364/2013/0165

  19. 18

    Propastin P, Ibrom A, Knohl A, Erasmi S (2012) Effects of canopy photosynthesis saturation on the estimation of gross primary productivity from MODIS data in a tropical forest. Remote Sens Environ 121:252-260, DOI:10.1016/j.rse.2012.02.005

  20. 19

    Grunwald D, Fender A-C, Erasmi S, Jungkunst HF (2012) Towards improved bottom-up inventories of methane from the European land surface. Atmos Environ 51:203-211, DOI:10.1016/j.atmosenv.2012.01.025

  21. 20

    Clough Y, Barkmann J, Juhrbandt J, Kessler M, Wanger TC, Anshary A, Buchori D, Cicuzza D, Darras K, Dwi Putra D, Erasmi S, Pitopang R, Schmidt C, Schulze CH, Seidel D, Steffan-Dewenter I, Stenchly K, Vidal S, Weist M, Wielgoss AC, Tscharntke T (2011) Combining high biodiversity with high yields in tropical agroforests. Proc Nat Acad Sci USA 108(20):8311-8316, DOI:10.1073/pnas.1016799108

  22. 21

    Propastin P, Erasmi S (2010) A physically based approach to model LAI from MODIS 250 m data in a tropical region. Int J Appl Earth Observ Geoinf 12(1):47-59, DOI:10.1016/j.jag.2009.09.013

  23. 22

    Schwarze S, Erasmi S, Priess JA, Zeller M (2009) Do National Parks reduce deforestation? The effectiveness of the Lore-Lindu National Park in Indonesia. Göttingen, 20 p, STORMA discussion paper series 30

  24. 23

    Biewer S, Erasmi S, Fricke T, Wachendorf M (2009) Prediction of yield and the contribution of legumes in legume-grass mixtures using field spectrometry. Precis Agric 10(2):128-144, DOI:10.1007/s11119-008-9078-9

  25. 24

    Erasmi S, Twele A (2009) Regional land cover mapping in the humid tropics using combined optical and SAR satellite data - a case study from Central Sulawesi, Indonesia. Int J Remote Sens 30(10):2465-2478, DOI:10.1080/01431160802552728

  26. 25

    Erasmi S, Propastin P, Kappas M, Panferov O (2009) Spatial patterns of NDVI variation over Indonesia and their relationship to ENSO warm events during the period 1982-2006. J Climate 22(24):6612-6623, DOI:10.1175/2009JCLI2460.1

  27. 26

    Steffan-Dewenter I, Kessler M, Barkmann J, Bos M, Buchori D, Erasmi S, Faust H, Gerold G, Glenk K, GradsteinSR, Guhardja E, Harteveld M, Hertel D, Höhn P, Kappas M, Köhler S, Leuschner C, Maertens M, Marggraf R, Schwarze S, et al (2007) Tradeoffs between income, biodiversity, and ecosystem functioning during tropical rainforest conversion and agroforestry intensification. Proc Nat Acad Sci USA 104(12):4973-4978, DOI:10.1073/pnas.0608409104

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